News

Intensive Care
Cloud, is based on previous efforts that led in the
design and development of Intensive Care Window, ICW
software application. ICW is an open-source solution
composed of a middleware framework (medical device
bedside controller) and an end-user application. The
middleware enables communication with intensive care
unit bedside-installed medical devices over standard and
proprietary communication protocol stacks. The ICW
application facilitates the acquisition of vital signs
and physiological parameters exported from
patient-attached medical devices and sensors. Moreover,
ICW provides runtime and post-analysis procedures for
data annotation, data visualization, data query, and
analysis. The ICW application can be deployed as a
stand-alone solution or in conjunction with existing
clinical information systems providing a holistic
solution to inpatient medical condition monitoring,
early diagnosis, and prognosis.

Venus-C project represent a promising
venue for addressing the computational challenges and
provide a scalable on demand solution in regards to data
storage, data analysis and data mining.

Huge data
storage capabilities. An estimate of the amount of
data that would be generated daily is given in the
following scenario. Suppose naive sensor tuple
composed of 16 Bytes (4 bytes=> Who, 4 bytes =>
When, 4 bytes => What, 4 bytes => Value) and that
there is only 1 hospital with 10 beds, where each
bed has 20 sensors. Assuming that each bed is used
for 24 hours per day and the system retrieves data
every 15 seconds, the data collected amounts to ~17
MB per day. This number only represents the data
from a basic set of the sensors and settings.
Additional information includes metadata, ﬁgures,
waveforms etc.

Near real time diagnosis. Real time analysis to
achieve complementary or computer-aided diagnosis
includes signal processing and data mining over a huge
data pool.